package com.fin.quant.web.controller;

import com.fin.quant.app.asset.service.AssetService;
import com.fin.quant.app.asset.service.RecommendationService;
import com.fin.quant.app.vo.GetGoalBasedRecommendationsRequest;
import com.fin.quant.app.vo.GetRecommendationsRequest;
import com.fin.quant.app.vo.RecommendationVO;
import com.fin.quant.rpc.common.Result;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import javax.validation.Valid;
import java.util.List;

/**
 * 智能推荐相关API控制器
 */
@RestController
@RequestMapping("/api/v1/recommendations")
@Slf4j
public class RecommendationController {

    @Autowired
    private AssetService assetService;

    @Autowired
    private RecommendationService recommendationService;

    /**
     * 获取智能推荐
     */
    @GetMapping("/smart")
    public Result<List<RecommendationVO>> getRecommendations(@Valid GetRecommendationsRequest request) {
        log.info("获取智能推荐请求: {}", request);

        Result<List<RecommendationVO>> recommendations = recommendationService.getRecommendations(request);

        return recommendations;
    }

    /**
     * 获取基于目标的推荐
     */
    @GetMapping("/goal-based")
    public Result<List<RecommendationVO>> getGoalBasedRecommendations(
            @Valid GetGoalBasedRecommendationsRequest request) {
        log.info("获取基于目标的推荐请求: {}", request);

        // TODO: 实现获取基于目标的推荐逻辑
        List<RecommendationVO> response = new java.util.ArrayList<>();

        return Result.createSuccessResult(response);
    }

    /**
     * 获取今日推荐
     */
    @GetMapping("/today")
    public Result<List<RecommendationVO>> getTodayRecommendations(@RequestParam(defaultValue = "10") Integer limit) {
        log.info("获取今日推荐请求: limit={}", limit);

        // TODO: 实现获取今日推荐逻辑
        List<RecommendationVO> response = new java.util.ArrayList<>();

        return Result.createSuccessResult(response);
    }

    /**
     * 获取周推荐
     */
    @GetMapping("/weekly")
    public Result<List<RecommendationVO>> getWeeklyRecommendations(@RequestParam(defaultValue = "10") Integer limit) {
        log.info("获取周推荐请求: limit={}", limit);

        // TODO: 实现获取周推荐逻辑
        List<RecommendationVO> response = new java.util.ArrayList<>();

        return Result.createSuccessResult(response);
    }

    /**
     * 获取收入目标推荐
     */
    @GetMapping("/income-goal")
    public Result<List<RecommendationVO>> getIncomeGoalRecommendations(@RequestParam Double targetIncome,
            @RequestParam(defaultValue = "10") Integer limit) {
        log.info("获取收入目标推荐请求: targetIncome={}, limit={}", targetIncome, limit);

        // TODO: 实现获取收入目标推荐逻辑
        List<RecommendationVO> response = new java.util.ArrayList<>();

        return Result.createSuccessResult(response);
    }

    /**
     * 获取个性化推荐
     */
    @GetMapping("/personalized")
    public Result<List<RecommendationVO>> getPersonalizedRecommendations(@RequestParam Long userId,
            @RequestParam(defaultValue = "10") Integer limit) {
        log.info("获取个性化推荐请求: userId={}, limit={}", userId, limit);

        // TODO: 实现获取个性化推荐逻辑
        List<RecommendationVO> response = new java.util.ArrayList<>();

        return Result.createSuccessResult(response);
    }

    /**
     * 反馈推荐结果
     */
    @PostMapping("/{recommendationId}/feedback")
    public Result<String> feedbackRecommendation(@PathVariable Long recommendationId,
            @RequestParam String action, // 'like', 'dislike', 'ignore'
            @RequestParam(required = false) String reason) {
        log.info("反馈推荐结果请求: recommendationId={}, action={}, reason={}", recommendationId, action, reason);

        // TODO: 实现反馈推荐结果逻辑

        return Result.createSuccessResult("反馈提交成功");
    }
}
